Azure Data Engineer

Job description

Area(s) of responsibility Azure Data Engineer Experience: 6-10 years - Azure Lead with experience in Azure ADF, ADLS Gen2, Databricks, PySpark and Advanced SQL - Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud - 4 Years of experience in Azure Databricks and PySpark - Experience in Performance Tuning - Experience with integration of different data sources with Data Warehouse and Data Lake is required - Experience in creating Data warehouse, data lakes - Understanding of data modelling and data architecture concepts - To be able to clearly articulate pros and cons of various technologies and platforms - Experience in supporting tools GitHub, Jira, Teams, Confluence need to be used - Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms. Mandatory Skillset: Azure Databricks, PySpark and Advanced SQL